SAIC · 4 hours ago
Data Engineer (Op AI)
San Diego, CA
Full-time
Onsite
Senior Level, Lead/Staff
$120K/yr - $160K/yr
8+ years expSAIC is seeking a Data Engineer in support of NAVWAR’s Naval Operational Architecture (NOA) program in San Diego, CA. The Data Engineer will automate the correlation of multiple ISR data streams and support a network-centric initiative to enhance operational efficiency.
Information TechnologySecurityService IndustrySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output
Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness
Design or normalize data to common standards to support interoperability and analytical workflows
Develop and deploy data pipelines and analytics in real-world applications
Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC
Perform exploratory data analysis, algorithm development, and testing
Deploy, monitor, and improve data pipelines for operational environments
Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ
Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality
Stay current with emerging trends in data engineering, distributed systems, and modern data architecture
Document data processes, pipeline structures, and engineering best practices
Qualification
Required
Bachelor's degree in computer science, Data Science, Engineering, Mathematics, Statistics, or a related STEM field and eight (8) years of experience in AI/ML experience in defense or intelligence environments
No dual citizenship
Active Top Secret clearance required; TS SCI clearance preferred
Experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer
Strong programming skills in Python
Experience designing or normalizing data to common standards
Experience with data pipeline development and real-world deployment
Experience with multiple data formats: CSV, JSON, XML, Parquet, ORC
Familiarity with event streaming platforms (Kafka, RabbitMQ, ZeroMQ)
Experience with exploratory data analysis, algorithm development, and testing
Experience deploying, monitoring, and improving data pipelines
Strong problem-solving and analytical skills
Excellent communication skills and ability to work effectively in a collaborative team environment
Familiarity with data pipeline frameworks and libraries (AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake)
Experience retrieving and managing GIS data (ArcGIS, PostGIS)
Programming skills in Go or Rust
Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores
Experience with AWS native data services: EFS, RDS, S3, SNS, SQS
Experience with distributed computing and parallel processing (AWS Lambda, DASK, Spark)
Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes)
Understanding of cybersecurity principles in the context of data applications
Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs
Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions
Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions
Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE)
Ability to operate in a DDIL office environment
Preferred
Experience with large-scale data architecture across secure DoD or government environments
Experience supporting NAVWAR, NIWC Pacific, or other Navy programs
Experience integrating data pipelines into operational mission systems
Familiarity with ML Ops or data engineering in classified or cross-domain environments
Company
SAIC
SAIC specializes in IT, enterprise IT, engineering, and professional services.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$522.13MKey Investors
U.S. Geothermal
2025-09-22Post Ipo Debt· $500M
2010-09-13Post Ipo Equity· $22M
2006-10-13IPO
Leadership Team
Robert Fecteau
IT Advisor to CEO
Prabu Natarajan
Chief Financial Officer
Recent News
2025-12-16
2025-12-16
2025-12-05
Company data provided by crunchbase